Instructions to use Jonjew/MaggieLawson2002 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/MaggieLawson2002 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Jonjew/MaggieLawson2002") prompt = "<lora:maggie-lawson-ca2002-000003:1> A Close-Up Photograph, Smiling, Looking Back, Background Is A Blurred View Of An Awards Ceremony, Emphasizing The Texture And Color Variations In The Hair, Overall Effect Is Natural And Elegant, Showcasing The Beauty Of The Hair In A Detailed And Artistic Manner, Lighting Effects, Diffused Lighting On The Skin, Looking Directly At The Viewer, Centered, Body Perpendicular to Viewer, Looking Directly At The Camera, Making Eye Contact, Looking Straight Ahead, <lora:zz_s_Chest_Size_Slider:-2.5>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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